Objective To investigate the efficacy of ambroxol combined with penehyclidine hydrochloride for prevention of pulmonary complications after surgery due to acute abdomen in pediatric patients with upper respiratory tract infection.Methods Fifty pediatric patients with acute abdomen complicated with respiratory infection,of ASA physical status Ⅰ or Ⅱ,aged 6 months-5 yr,were randomly divided into test group (group A) and control group (group B),with 25 cases in each group.Immediately after admission to the operating room,ambroxol 1 mg/kg and penehyclidine hydrochloride 0.02 mg/kg were injected intravenously in group A,and atropine 0.02 mg/kg was given in group B.Extubation time and development of laryngospasm,bronchospasm and hypoxemia were recorded.The patients were followed up for 72 h after surgery and the development of postoperative pulmonary complications was recorded.Results Compared with group B,the incidence of hypoxemia and pulmonary complications was significantly decreased,and extubation time was shortened in group A.Conclusion Ambroxol combined with penehyclidine hydrochloride can prevent pulmonary complications after surgery due to acute abdomen and is helpful for prognosis in pediatric patients with upper respiratory tract infection.

OBJECTIVETo explore effects of beraprost sodium (BPS) on the metabolism of extracellular matrix (ECM) in rat mesangial cells cultured in the presence of high glucose and the possible mechanism.

METHODSRat mesangial cells were cultured in the presence of high glucose with or without BPS for 24 or 48 h. The levels of transforming growth factor β1 (TGFβ1), fibronectin (FN) and matrix metalloproteinase-2 (MMP-2) protein in the culture supernatants were measured by enzyme-linked immunosorbent assay, and photoshop-Smad3 was detected by Western blotting.

RESULTSCompared with the cells in normal glucose, the cells cultured in the presence of high glucose for 24 and 48 h showed significantly increased TGFβ 1 and FN protein expression and lowered MMP-2 protein expression (P<0.01). Compared with the cells cultured in high glucose, BPS exposure at the concentration of 1, 2, and 5 µmol/L for 24 and 48 h significantly lowered TGFβ 1 protein expression (P<0.01), and at 2 and 5 µmol/L, BPS significantly decreased FN protein expression and increased MMP-2 protein expression in high glucose-induced cells (P<0.05). High glucose exposure also significantly increased the expression phosphorylated Smad3 (P<0.01), which was lowered by BPS treatment at 2 and 5 µmol/L (P<0.01).

CONCLUSIONBPS can regulate ECM metabolism in rat mesangial cells cultured in high glucose by inhibiting TGFβ 1/Smad3 pathway, suggesting the beneficial effects of BPS in preventing and treating diabetic nephropathy.

Animals ; Cell Line ; Cells, Cultured ; Diabetic Nephropathies ; Enzyme-Linked Immunosorbent Assay ; Epoprostenol ; analogs & derivatives ; pharmacology ; Extracellular Matrix ; metabolism ; Fibronectins ; metabolism ; Glomerular Mesangium ; cytology ; Glucose ; Matrix Metalloproteinase 2 ; metabolism ; Mesangial Cells ; drug effects ; Rats ; Transforming Growth Factor beta1 ; metabolism

OBJECTIVETo investigate the effect of exendin-4 on the expression of monocyte chemoattractant protein-1 (MCP-1) and fibronectin (FN) in rat glomerular mesangial cells in vitro.

METHODSRat glomerular mesangial cells were divided into 5 groups, namely control group, tumor necrosis factor-α (TNF-α) group (10 ng/ml), TNF-α (10 ng/ml)+E1 (1 nmol/L exendin-4) group, TNF-α (10 ng/ml)+E5 (5 nmol/L exendin-4) group, and TNF-α (10 ng/ml)+E10 (10 nmol/L exendin-4) group. After cultured 24 h or 48 h, RNA were extracted to determine the expression of MCP-1 with real-time PCR, the supernatant were collected to determine the expression of MCP-1 and FN with ELISA.

RESULTSCompared with control group, the cells treated with TNF-α for 24 h showed significantly increase the expression of MCP-1 and FN (P<0.01), exendin-4 significantly reduced the expression of MCP-1 and FN in TNF-α+E5 group and TNF-α+E10 group (P<0.05). After 48h incubation, the expression of MCP-1 and FN increased significantly in TNF-α group (P<0.01), which was lowered by exendin-4 in TNF-α+E1,TNF-α+E5 and TNF-α+E10 groups (P<0.05).

CONCLUSIONExendin-4 has an intrinsic capability to concentration- and time-dependently inhibit TNF-α-induced expression of MCP-1 and FN in rat mesangial cells, suggesting the beneficial effect of exendin-4 in preventing and treating diabetic nephropathy.

Animals ; Cells, Cultured ; Chemokine CCL2 ; metabolism ; Diabetic Nephropathies ; metabolism ; Glomerular Mesangium ; cytology ; Mesangial Cells ; drug effects ; metabolism ; Peptides ; pharmacology ; Rats ; Tumor Necrosis Factor-alpha ; pharmacology ; Venoms ; pharmacology

OBJECTIVETo explore the distribution and antibiotic resistance of pathogens in lesions of diabetic foot osteomyelitis (DFO) and analyze the risk factors causing osteomyelitis.

METHODSA total of 372 patients with diabetic foot infections hospitalized between January 2011 and December 2014, including 203 with osteomyelitis (OM group) and 169 without osteomyelitis (non-OM group), were examined for the distribution and antibiotic resistance profile of the pathogens in the wounds. Logistic regression analysis was used to analyze the risk factors causing osteomyelitis.

RESULTSGram-negative bacteria were the predominant pathogens (53.7%) in the infected wounds in OM group, whereas Gram-positive bacteria were the most frequently found (56.7%) in non-OM group (P=0.001). Among the Gram-positive bacteria, Staphylococcus was the dominating flora (35.1%). The resistance rate to oxacillin and cefoxitin of the isolated bacteria in OM group (64.9% and 68.5%, respectively) was significantly higher than that in non-OM group (29.2% and 32.6%, respectively; P<0.05). Among the gram-negative bacteria, Enterobacteriaceae was the dominating flora (62.4%), with a higher resistance rate to Cefepime and Aztreonam in OM group (30.1% and 38.6%, respectively) than in non-OM group (15.1% and 22.2%, respectively; P<0.05). Logistic regression analysis indicated that the infection by multi-drug resistant bacteria and an wounds area >4 cm(2) were the risk factors for osteomyelitis in patients with diabetic foot infections (P<0.05).

CONCLUSIONIn addition to an empirical anti-infection therapy, clinicians should choose specific antibiotics against Gram-negative bacteria according to the microbial spectrum and antibiotic resistance of pathogens in patients with DFO; patients with diabetic foot infections by multi-drug resistant bacteria and those with a wound area exceeding 4 cm(2) are exposed to an increased risk of osteomyelitis.

Anti-Bacterial Agents ; Cephalosporins ; Diabetic Foot ; microbiology ; Drug Resistance, Multiple, Bacterial ; Gram-Negative Bacteria ; classification ; isolation & purification ; Gram-Positive Bacteria ; classification ; isolation & purification ; Humans ; Osteomyelitis ; microbiology ; Risk Factors ; Wound Infection ; microbiology

In recent years, the pollution problem of particulate matter, especially PM2.5, is becoming more and more serious, which has attracted many people's attention from all over the world. In this paper, a Kalman prediction model combined with cubic spline interpolation is proposed, which is applied to predict the concentration of PM2.5 in the micro-regional environment of campus, and to realize interpolation simulation diagram of concentration of PM2.5 and simulate the spatial distribution of PM2.5. The experiment data are based on the environmental information monitoring system which has been set up by our laboratory. And the predicted and actual values of PM2.5 concentration data have been checked by the way of Wilcoxon signed-rank test. We find that the value of bilateral progressive significance probability was 0.527, which is much greater than the significant level = 0.05. The mean absolute error (MEA) of Kalman prediction model was 1.8 μg/m , the average relative error (MER) was 6%, and the correlation coefficient was 0.87. Thus, the Kalman prediction model has a better effect on the prediction of concentration of PM2.5 than those of the back propagation (BP) prediction and support vector machine (SVM) prediction. In addition, with the combination of Kalman prediction model and the spline interpolation method, the spatial distribution and local pollution characteristics of PM2.5 can be simulated.